Literature DB >> 25212778

Retinal hemorheologic characterization of early-stage diabetic retinopathy using adaptive optics scanning laser ophthalmoscopy.

Shigeta Arichika1, Akihito Uji1, Tomoaki Murakami1, Noriyuki Unoki1, Shin Yoshitake1, Yoko Dodo1, Sotaro Ooto1, Kazuaki Miyamoto1, Nagahisa Yoshimura1.   

Abstract

PURPOSE: Adaptive optics scanning laser ophthalmoscopy (AO-SLO) is a noninvasive technique that allows for the direct monitoring of erythrocyte aggregates in retinal capillaries. We analyzed the retinal hemorheologic characteristics in normal subjects, diabetic patients without diabetic retinopathy (NDR), and diabetic patients with nonproliferative diabetic retinopathy (NPDR), using spatiotemporal (ST) blood flow images to visualize blood corpuscle trajectory.
METHODS: AO-SLO images of the parafoveal capillary network were acquired for three groups: 20 healthy volunteers, 17 diabetic patients with NDR (8 type 1 and 9 type 2 patients), and 10 diabetic patients with NPDR (4 type 1 and 6 type 2). The erythrocyte aggregate velocity assigned to a relative cardiac cycle and the elongation rate of the erythrocyte aggregate were calculated.
RESULTS: Careful observation revealed that flow velocity fluctuations were found with higher frequency in diabetic patients than in normal subjects. The total average velocities were 1.26 ± 0.22 mm/s in the normal group, 1.31 ± 0.21 mm/s in the NDR group, and 1.63 ± 0.35 mm/s in the NPDR group. The average velocities of the NPDR group were higher than those in the normal (P = 0.001) and NDR (P = 0.009) groups. The average elongation rates of the 3 groups were 0.67 ± 0.20, 0.39 ± 0.19, and 0.33 ± 0.11, respectively. Elongation rate differed significantly between the normal and NDR (P = 0.003) groups as well as the normal and NPDR (P = 0.001) groups.
CONCLUSIONS: AO-SLO can be used to detect retinal hemorheologic changes in the early stages of diabetic retinopathy. Copyright 2014 The Association for Research in Vision and Ophthalmology, Inc.

Entities:  

Keywords:  AO-SLO; diabetic retinopathy; hemorheology

Mesh:

Year:  2014        PMID: 25212778     DOI: 10.1167/iovs.14-15121

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  16 in total

1.  Noninvasive in vivo characterization of erythrocyte motion in human retinal capillaries using high-speed adaptive optics near-confocal imaging.

Authors:  Boyu Gu; Xiaolin Wang; Michael D Twa; Johnny Tam; Christopher A Girkin; Yuhua Zhang
Journal:  Biomed Opt Express       Date:  2018-07-12       Impact factor: 3.732

2.  Comparison of retinal vessel measurements using adaptive optics scanning laser ophthalmoscopy and optical coherence tomography.

Authors:  Shigeta Arichika; Akihito Uji; Sotaro Ooto; Yuki Muraoka; Nagahisa Yoshimura
Journal:  Jpn J Ophthalmol       Date:  2016-02-23       Impact factor: 2.447

Review 3.  Adaptive optics scanning laser ophthalmoscopy in fundus imaging, a review and update.

Authors:  Bing Zhang; Ni Li; Jie Kang; Yi He; Xiao-Ming Chen
Journal:  Int J Ophthalmol       Date:  2017-11-18       Impact factor: 1.779

4.  Imaging relative stasis of the blood column in human retinal capillaries.

Authors:  Phillip Bedggood; Andrew Metha
Journal:  Biomed Opt Express       Date:  2019-11-01       Impact factor: 3.732

5.  Computational fluid dynamics assisted characterization of parafoveal hemodynamics in normal and diabetic eyes using adaptive optics scanning laser ophthalmoscopy.

Authors:  Yang Lu; Miguel O Bernabeu; Jan Lammer; Charles C Cai; Martin L Jones; Claudio A Franco; Lloyd Paul Aiello; Jennifer K Sun
Journal:  Biomed Opt Express       Date:  2016-11-04       Impact factor: 3.732

Review 6.  Neuroprotective strategies for retinal disease.

Authors:  Machelle T Pardue; Rachael S Allen
Journal:  Prog Retin Eye Res       Date:  2018-02-23       Impact factor: 21.198

Review 7.  The fundus photo has met its match: optical coherence tomography and adaptive optics ophthalmoscopy are here to stay.

Authors:  Jessica I W Morgan
Journal:  Ophthalmic Physiol Opt       Date:  2016-05       Impact factor: 3.117

8.  Effects of age and blood pressure on the retinal arterial wall, analyzed using adaptive optics scanning laser ophthalmoscopy.

Authors:  Shigeta Arichika; Akihito Uji; Sotaro Ooto; Yuki Muraoka; Nagahisa Yoshimura
Journal:  Sci Rep       Date:  2015-07-20       Impact factor: 4.379

Review 9.  Human retinal microvascular imaging using adaptive optics scanning light ophthalmoscopy.

Authors:  Toco Y P Chui; Shelley Mo; Brian Krawitz; Nikhil R Menon; Nadim Choudhury; Alexander Gan; Moataz Razeen; Nishit Shah; Alexander Pinhas; Richard B Rosen
Journal:  Int J Retina Vitreous       Date:  2016-05-01

Review 10.  Neuroprotection as a Therapeutic Target for Diabetic Retinopathy.

Authors:  Cristina Hernández; Massimo Dal Monte; Rafael Simó; Giovanni Casini
Journal:  J Diabetes Res       Date:  2016-03-31       Impact factor: 4.011

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